Motion analysis system and management system

Abstract

To provide a motion analysis system that can easily measure the overall physical strength age of a subject for purposes such as labor accident prevention, disease prevention, and care prophylaxis.SOLUTION: A motion analysis system includes: a measurement device 11 that measures the motion of a subject A; and an analysis device 12 that analyzes information obtained by the measurement device 11. The measurement device 11 includes a body information measurement unit that sequentially measures the two-dimensional or three-dimensional coordinates of multiple predefined body feature points of the subject A. The analysis device 12 includes: a physical ability calculation unit that calculates movement feature amounts from the coordinates of the body feature points; and a physical strength age calculation unit that calculates the overall physical strength age from the movement feature amounts calculated by the physical ability calculation unit. The physical ability calculation unit calculates the movement feature amount for each of the muscle strength, balance ability, walking ability, and reaction speed of the subject.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a motion analysis system that evaluates the overall physical age of a subject for the purpose of preventing industrial accidents, diseases, and nursing care, etc. The present invention also relates to a management system that manages the measurement results of subjects measured by the motion analysis system. [Background technology]

[0002] In recent years, the aging of the population has progressed mainly in developed countries such as Japan, and it is becoming important to maintain the ability to live and work independently even as we get older. Past studies have reported that declines in motor ability and cognitive ability are closely related to disease risk, work-related accident risk, and nursing care risk. For example, it has been reported that declines in muscle strength are related to lower back pain, the possibility of walking independently, fall risk, sarcopenia risk, and diabetes risk. It has also been reported that declines in balance ability are related to fall risk, and walking ability is related to life expectancy, fall risk, nursing care risk, cardiopulmonary function decline, and cognitive function. The impact of declines in cognitive ability on daily social activities is unavoidable, and like motor ability, it declines with age, and the rate of decline in motor ability increases especially after the age of 50.

[0003] As such, a decline in athletic ability is associated with various health risks, including illness, work-related accidents, and the need for nursing care. Therefore, it is necessary to take preventive measures early on by simply and comprehensively evaluating the subject's physical fitness, and devices for measuring the subject's physical fitness have been developed.

[0004] For example, Patent Document 1 discloses a device that calculates the state of muscle strength in three body parts (upper body, left side lower body, right side lower body) and calculates the sum of joint torque in the body and the difference between left and right maximum joint torques to evaluate the degree of trunk deterioration and left-right balance and calculates athletic ability scores.

[0005] Patent Document 2 discloses a leg strength measuring device that measures the lower limb strength exerted when a subject extends his / her leg, and Patent Document 3 discloses a device that uses a load distribution detection means to measure the time a subject can stand on one leg and calculates the flexibility of the back muscles and the risk of falling from that time. Patent Document 4 discloses a device that calculates the amount of posture change from the values ​​of a three-axis acceleration sensor and a three-axis geomagnetic sensor and calculates the physical age from the value of the amount of posture change, and Patent Document 5 discloses a three-dimensional measuring device that measures the walking characteristics of a subject while walking (at least the walking speed, the difference between the left and right walking rhythm, and the bending of the waist) to calculate the walking age and calculate the beauty of the walking posture. Patent Document 6 discloses a sheet-type pressure sensor that measures walking characteristics such as stride length, walking angle, and walking cycle from walking track information and calculates the physical strength of the subject. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] JP 2019-154489 A [Patent Document 2] JP 2015-33517 A [Patent Document 3] JP 2016-93347 A [Patent Document 4] JP 2009-101108 A [Patent Document 5] JP 2018-69035 A [Patent Document 6] JP 2017-6305 A Summary of the Invention [Problem to be solved by the invention]

[0007] However, the devices and systems shown in the above-mentioned patent documents can only evaluate some of the main items of motor ability, namely muscle strength, balance ability, walking ability, and reaction speed. Therefore, in order to measure all of muscle strength, balance ability, walking ability, or reaction speed, the subject needs to prepare the respective devices and measurement environment, which requires a great deal of cost and effort. Furthermore, the devices in patent documents 2, 3, and 6 require pressure sensors and dedicated equipment, and it is also necessary to prepare a place to install the measurement equipment. As such, it was difficult for the conventional systems to calculate physical age simply and comprehensively.

[0008] Therefore, the present invention aims to provide a motion analysis system that can easily measure the overall physical age of a subject for preventing industrial accidents, diseases, nursing care, etc., and further aims to provide a motion analysis system and a motion analysis algorithm that can calculate the overall physical age. It also aims to provide a management system that manages the measurement results of subjects measured by the motion analysis system. [Means for solving the problem]

[0009] In order to achieve the above-mentioned object, a first motion analysis system of the present invention is a motion analysis system that analyzes the motion of a subject and calculates the subject's overall physical age, and includes a measuring device that measures the subject's motion and an analyzing device that analyzes information obtained by the measuring device, the measuring device having a physical information measuring unit that sequentially measures two-dimensional or three-dimensional coordinates of a plurality of predetermined physical feature points of the subject, the analyzing device having a physical ability calculation unit that calculates motor feature amounts from the coordinates of the physical feature points, and a physical ability calculation unit that calculates the overall physical age from the motor feature amounts calculated by the physical ability calculation unit, and the physical ability calculation unit calculates each of the motor feature amounts of the subject's muscle strength, balance ability, and walking ability.

[0010] The physical fitness age calculation unit calculates a muscle strength age, a balance strength age and a walking strength age based on the movement feature amounts of muscle strength, balance strength and walking strength calculated by the physical ability calculation unit, and calculates an overall physical fitness age from the muscle strength age, balance strength age and walking strength age.

[0011] Furthermore, a second motion analysis system of the present invention is a motion analysis system that analyzes the motion of a subject and calculates the subject's overall physical age, and includes a measuring device that measures the subject's motion and an analyzing device that analyzes information obtained by the measuring device, wherein the measuring device has a physical information measuring unit that sequentially measures two-dimensional or three-dimensional coordinates of a plurality of predetermined physical feature points of the subject, and the analyzing device has a physical ability calculating unit that calculates motor feature amounts from the coordinates of the physical feature points, and a physical ability calculating unit that calculates the overall physical age from the motor feature amounts calculated by the physical ability calculating unit, and the physical ability calculating unit calculates each of the motor feature amounts of the subject's muscle strength, balance ability, and reaction speed.

[0012] The physical fitness age calculation unit calculates a muscle strength age, a balance age, and a reaction speed age based on the movement feature amounts of muscle strength, balance, and reaction speed calculated by the physical ability calculation unit, and calculates an overall physical fitness age from the muscle strength age, balance age, and reaction speed age.

[0013] Furthermore, the muscle strength of the subject is calculated as the number of times the subject stands up from a sitting position within a certain time period, the balance ability of the subject is calculated as the one-legged standing time period, the walking ability of the subject is calculated as the walking speed, and the reaction speed of the subject is calculated as the reaction time from the screen display to the completion of the action, by having the subject perform a predetermined action according to the content displayed on the screen of the measuring device.Furthermore, it is preferable that the measuring device is provided with a cognitive function measuring means.

[0014] In addition, the management system of the present invention is a management system that manages the measurement results of multiple subjects obtained by a motion analysis system, and is characterized in that the management system is provided with a recording means for recording the katakana spelling of the user's name and date of birth as user information in a server corresponding to the measurement result data for each user who is a subject, a comparison means for acquiring the katakana spelling of the name and date of birth entered by the user when logging in and comparing it to see if there is corresponding information in the recording means, a means for allowing login if, based on the comparison result, the entered katakana spelling of the name and date of birth match corresponding information in the database, a means for allowing login if, based on the comparison result, the entered katakana spelling of the name and date of birth match corresponding information in the database, and a means for prompting new registration if, based on the comparison result, the entered katakana spelling of the name and date of birth do not match corresponding information in the database. Effect of the Invention

[0015] According to the motion analysis system of the present invention, since it is equipped with an analysis device that calculates the subject's overall physical age, it is possible to easily calculate the overall physical age taking into account the subject's cognitive ability, muscle strength, balance, walking ability, and reaction speed. [Brief description of the drawings]

[0016] [Figure 1] 1 is a schematic configuration diagram showing a first example of a motion analysis system of the present invention. [Diagram 2] FIG. 2 is an explanatory diagram showing an example of skeletal information of a subject to be measured. [Diagram 3] FIG. 2 is a flow chart showing a schematic operation of a first embodiment of the motion analysis system of the present invention. [Figure 4] 1 is a graph showing the results of measuring the positions of body parts during a chair stand test using a motion analysis system. [Diagram 5] 1 is a graph showing the results of measuring the positions of body parts during a one-legged standing test using a motion analysis system. [Figure 6]1 is a graph showing the results of measuring the positions of body parts during a walking test using a motion analysis system. [Figure 7] Scatter plot and linear regression equation based on Table 3 showing the relationship between chair rise frequency and age. [Figure 8] Based on Table 4, this is a scatter plot and linear regression equation showing the relationship between the number of seconds spent standing on one leg and age. [Figure 9] Based on Table 5, a scatter plot and linear regression equation showing the relationship between walking speed and age. [Figure 10] FIG. 4 is a flowchart showing a schematic operation of a second embodiment of a motion analysis system according to the present invention. [Figure 11] 10 is a flowchart of a reaction speed test in the second embodiment. [Figure 12] Scatter plot and linear regression equation showing the relationship between reaction rate and age. [Figure 13] 13 is an example of a report presenting the measurement results to the subject. [Figure 14] 11 is a flowchart showing a login process to the management system. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0017] The motion analysis system 100 according to the first embodiment of the present invention measures the muscle strength, balance and walking ability of a subject, analyzes the motion by the motion analysis system, and calculates the overall physical age of the subject.

[0018] Table 1 shows the motion items performed in this embodiment to measure the elements of physical age (muscle strength, balance, walking ability).

[0019] [Table 1]

[0020] Below, we will explain the movement items that measure muscle strength, balance, and walking ability.

[0021] In order to measure muscle strength, a method of directly connecting to the subject's body and measuring force data, such as a grip strength meter or a leg strength meter, may be widely adopted. This method is highly accurate because it can directly measure the force generated by the muscle, but it requires a dedicated device, so the measurement is time-consuming and costly. On the other hand, muscle strength can also be calculated by counting how many times a predetermined movement can be performed within a certain time. In this embodiment, muscle strength is calculated by a chair stand test, and specifically, the number of times a person can stand up from a chair and sit down without using their hands within a certain time and the time required to sit and stand up a certain number of times are measured to calculate muscle strength.

[0022] Balance ability is an index that is difficult to measure directly like muscle strength, and since multiple bodily functions such as the semicircular canals, nervous system, and musculoskeletal system are involved in a complex manner, individual evaluation is also difficult. Therefore, the Berg balance scale is widely used as a method for calculating complex balance ability. In the Berg balance scale, 14 tests are performed and whether the tests can be performed appropriately is evaluated and scored. However, the Berg balance scale requires specialized knowledge, and it is difficult for people without specialized knowledge to easily perform it. Therefore, methods for calculating balance ability using only the results of one test, such as the one-legged standing test and the star excursion balance test, are also widely used. In addition, there are methods for measuring the ability to appropriately move the center of gravity within the support base, such as the functional reach test. In this embodiment, a method for calculating balance ability is adopted using a one-legged standing test.

[0023] As for walking power, there are various walking-related feature quantities as shown in Table 2, and various walking feature quantities can be measured using a camera or pressure sensor. In some cases, such as the Timed Up & Go Test, the measurement includes the movement of standing up from a chair and the movement of turning, but in this embodiment, the walking speed is measured by measuring the time it takes to travel a predetermined distance, and the walking power is calculated.

[0024] [Table 2]

[0025] Conventionally, when analyzing the movements of subjects, efforts have been made to measure these movement features using various sensors such as motion capture, camera images, inertial measurement units, pressure sensors, etc. By using more sensors, it is possible to increase the number of movement features that can be calculated.

[0026] However, in order to realize the object of the present invention of calculating physical age simply and comprehensively, it is important to calculate necessary and sufficient feature quantities from the minimum number of measurement items. Moreover, it is preferable that the feature quantities are less likely to cause measurement errors and have sufficient scientific evidence.

[0027] Therefore, the inventors have invented an algorithm and a system for measuring the features of the important elements of physical age, which have a particularly large amount of scientific evidence.It has been found that the physical condition of a subject can be adequately understood by measuring the features of movement items that evaluate at least muscle strength, balance, and walking ability, and calculating the age value from those features.

[0028] A first embodiment of the motion analysis system of the present invention will be specifically described below with reference to FIGS.

[0029] As shown in Fig. 1, the motion analysis system 100 includes a measuring device 11 and an analyzing device 12 for measuring the motion of a subject A. The measuring device 11 has a body information measuring unit equipped with a camera, and the body information measuring unit sequentially measures two-dimensional or three-dimensional coordinates of a plurality of predetermined body feature points (skeletal information) of the subject A. The measuring device 11 and the analyzing device 12 may be integrated into one device, which is a so-called computer, and is configured with hardware constructed from general-purpose devices such as a CPU, memory, and input / output interface, a dedicated logic circuit constructed to execute a predetermined processing operation, or a combination of these, and is preferably a tablet computer with a built-in camera and a display.

[0030] In addition, as shown in FIG. 2, body feature points (skeletal information) are defined at key locations in the movements of subject A, such as the head, shoulders, elbows, pelvis, and knees, and in this embodiment, 18 locations are defined.

[0031] The analysis device 12 includes a physical ability calculation unit that calculates a movement feature amount calculated using the coordinates of the body feature points, and a physical fitness age calculation unit that calculates an overall physical fitness age from the movement feature amount.

[0032] FIG. 3 shows a flow diagram of the motion analysis system from measuring physical information of subject A to calculating a comprehensive physical age. The flow of analysis will be explained below with reference to FIG.

[0033] First, in s1, predetermined basic information of subject A such as sex, age, height, weight, etc. is input to analysis device 12. Next, in s2, the body information measuring unit of measurement device 11 measures body feature points (skeletal information) of subject A as basic information.

[0034] Next, in s3 (s31), a chair stand test is started, the physical information measuring unit of the measuring device 11 measures the changes in the coordinates of the physical feature points, the physical ability calculating unit of the analysis device 12 calculates the number of stand-ups as a motor feature, and in s32, the physical fitness age calculating unit of the analysis device 12 calculates the muscle strength age.

[0035] Muscle strength age is calculated from the number of times the user stands up within a certain period of time (30 seconds in this embodiment). The physical ability calculation unit distinguishes between a standing and sitting state and calculates the number of times the user stands up by setting a threshold value for the joint position and angle when standing up from a sitting state or by analyzing frequency information. FIG. 4 shows an example of the position of the center of gravity during a standing up test. By setting a threshold value for the position of the center of gravity, it is possible to distinguish between a standing state and a sitting state and to calculate the number of times the user stands up within a given period of time.

[0036] In addition, since the displacement of the center of gravity position is often a repetitive signal, frequency analysis is also effective. The number of rising times can also be calculated by performing a Fourier transform to calculate the peak frequency. When calculating the number of times using frequency analysis, the following relational expression is used. Number of rises = peak frequency x measurement time

[0037] The number of times the subject stood up was calculated as a motor characteristic related to muscle strength for subject A, but research has shown that this, along with the motor characteristic related to balance and walking ability described below, changes with age. Table 3 shows the results of the 30-second chair stand test by age.

[0038] [Table 3]

[0039] The physical age calculation unit of the analysis device 12 calculates the linear regression equation shown in Fig. 7 based on pre-stored Table 3. Furthermore, the physical age calculation unit estimates an age value related to muscle strength (muscle strength age) of subject A from the linear regression equation based on the result of the number of times of standing up.

[0040] Next, in s4 (s41), a one-legged standing test is started, and in s42, a balance feature (one-legged standing time) and a balance age are calculated from the results of the one-legged standing test. In order to distinguish between one-legged standing and two-legged standing of subject A, the physical ability calculation unit of analysis device 12 distinguishes between these states by setting a threshold value for the difference in height of the toes of both feet. FIG. 5 shows a normalized value obtained by dividing the difference in toe height when standing by height. A state in which the difference in toe height exceeds 10% of height is regarded as one-legged standing. The one-legged standing time is calculated using the following relational expression. One-legged standing time = t2-t1 * t2 is the time when the threshold value p1 is first exceeded, and t2 is the time when the value becomes smaller than the threshold value p2 for the first time after t1.

[0041] Table 4 shows the results of standing on one leg by age. The physical fitness age calculation unit of the analysis device 12 calculates a linear regression equation as shown in Fig. 8 based on the pre-stored Table 4. Furthermore, the physical fitness age calculation unit estimates an age value related to the balance ability of subject A (balance ability age) from the linear regression equation based on the calculated one-leg standing time.

[0042] [Table 4]

[0043] Next, in s5 (s51), a walking test is started, and in s52, the walking feature amount (walking speed) and walking age are calculated. In the walking test, subject A walks towards the camera. If the body information measurement unit uses a 3D camera, the walking speed is calculated from the subject's traveled distance and elapsed time. On the other hand, if a 2D camera is used, depth information of the subject cannot be obtained, so in this case it is estimated from the length of the body parts of subject A in the camera image.

[0044] When subject A walks toward the camera, the proportion of subject A's body part length in the camera image increases. The farther subject A is from the camera, the smaller subject A appears in the image, and the closer subject A is to the camera, the larger subject A appears. In other words, the subject's distance can be estimated from the change in subject A's body part length in the camera image.

[0045] FIG. 6 shows the proportion of the torso length in the camera image. The torso does not shake much even when walking, so measurement errors are unlikely to occur. The measurement section is the area where the torso length in the data in FIG. 6 is between 15% and 30% of the image ratio, and the physical ability calculation section of the analysis device 12 calculates the walking speed based on the time it takes to pass through that section. The proportion of the image ratio that the torso length takes up varies depending on height and the type of camera, so the coefficient is set in advance. Walking speed = c3 × (p4-p3) / (t4-t3) * c3 is an arbitrary coefficient that takes into account height, the number of pixels of the camera, etc.

[0046] Table 5 shows the walking speed results by age. The physical age calculation unit of the analysis device 12 calculates a linear regression equation as shown in Fig. 9 based on the pre-stored Table 5. Furthermore, the physical age calculation unit estimates an age value related to the walking power (walking age) of subject A from the linear regression equation based on the calculated walking speed.

[0047] [Table 5]

[0048] As standard values ​​for each movement item are known by age, it is possible to estimate the age-related values ​​for muscle strength, balance, and walking ability from the subject's measurement results.

[0049] The overall physical age defined in the present invention is calculated in s6 (the physical age calculation unit of the present invention) using the muscle age, balance age, and walking age calculated in s3 to s5 (the physical ability calculation unit). The relational expressions between the overall physical age, the muscle age, the balance age, and the walking age are shown below. Physical age = (a1 x muscle age + a2 x balance age + a3 x walking age) / (a1 + a2 + a3) * a1, a2, and a3 are arbitrary constants

[0050] Here, if a1, a2, and a3 are all set to the same constant, the physical fitness age will be equal to the average of the muscle fitness age, balance fitness age, and walking age, but these constants can be adjusted according to the subject's occupation and situation. For example, in the construction industry, where falls are a major risk, a1 and a3 can be set to 1, and a2 to 2 to calculate a balance-oriented physical fitness age suitable for predicting the risk of falling.

[0051] A similar example is the Post Offer Employment Testing (POET) in the United States. POET can predict the risk of occupational accidents of employees by conducting physical fitness tests according to their occupation. In the present invention, too, by changing the weighting of each item, it is possible to calculate the physical age according to the subject's occupation and situation.

[0052] In addition, the data in Tables 3 to 5 are used to calculate muscle strength age, balance strength age, and walking age for muscle strength, balance strength, and walking strength, but these can be updated as new knowledge and industry-specific data become available. EXAMPLES

[0053] Next, an example of calculating the physical ages of two people, a man and a woman, using the above-mentioned motion analysis system 100 will be described.

[0054] The results of the motor test for Male A were as follows: Chair rise test: 14 times, one-legged standing: 30.0 seconds, walking speed: 1.4 m per second.

[0055] The physical age calculation unit of the analysis device 12 calculates the muscle age to be 67.7 years from the chair standing test result (14 times), the balance age to be 63.8 years from the one-legged standing test result (30.0 seconds), and the walking age to be 56.2 years from the walking test result (1.4 m per second). If these results are used in the above relational expression for estimating physical age, with a1, a2, and a3 each set to 1, the physical age is calculated to be 62.5 years.

[0056] The results of the motor test for Woman B were as follows: Chair rise test: 12 times, one-legged standing: 25.0 seconds, walking speed: 1.3 meters per second.

[0057] The physical age calculation unit of the analysis device 12 calculates the muscle age to be 77.5 years from the chair standing test results (12 times), the balance age to be 65.6 years from the one-legged standing test results (25.0 seconds), and the walking age to be 67.3 years from the walking test results (1.3 m per second). If these results are used in the above relational expression for estimating physical age, with a1, a2, and a3 each set to 1, the physical age is calculated to be 70.1 years.

[0058] Next, a second embodiment of the motion analysis system of the present invention will be specifically described with reference to Fig. 10 to Fig. 12. This embodiment also uses the same measuring device 11 and analyzing device 12 as the first embodiment. The difference from the first embodiment is that instead of the walking force, the reaction speed of the subject is measured and the overall endurance age of the subject is calculated.

[0059] In the second embodiment, the subject's movements are induced and their reaction speed is measured, making it possible to objectively evaluate reaction speed. By measuring the reaction time to the induced movement correctly as a function of age, it is possible to measure the overall physical age. Reaction time is one of the indicators that change with age, and since there is ample scientific evidence to support it, it is a very valuable indicator.

[0060] Reaction time is used as an index to evaluate an individual's cognitive function and processing speed. For example, in cognitive psychology and neuroscience research, it is possible to evaluate an individual's information processing speed by measuring reaction time to different cognitive tasks. In addition, reaction time tends to change in diseases such as neurodegenerative diseases and attention deficit hyperactivity disorder.

[0061] In this embodiment, reaction speed is measured by conducting a test on a sustained attention measurement task in which, when there are multiple possible cue stimuli that may be presented, the subject is required to select a response that corresponds to the presented stimuli as quickly as possible.

[0062] 10, the process is the same as in the first embodiment up to the start of a one-legged standing test in s4 (s41), and the calculation of a balance feature (one-legged standing time) and balance age from the result of the one-legged standing test in s42. In this embodiment, unlike the first embodiment, the reaction speed test is started in s'5 (s'51), and the reaction speed feature and reaction speed age are calculated from the reaction speed result in s'52.

[0063] In the reaction speed test, the subject is asked to perform a specific action in response to a specific stimulus, and the measurement is started from the moment the stimulus is presented to the subject, and the time from the moment the action is completed is measured and recorded as the reaction speed. For example, a number of objects of different colors, such as A, B, and C, are prepared and displayed on the screen of the measuring device 11, and the subject is asked to perform the action of lifting the right hand for A, the left hand for B, and both hands for C from above the shoulder according to the displayed object. The actions determined according to the various shapes and colors of the displayed object are displayed in advance on the screen of the measuring device 11, or a tutorial is conducted in advance to have the subject memorize them.

[0064] The flow of the reaction speed test will be specifically explained below with reference to Fig. 11. The subject is required to perform a predetermined action according to the object displayed on the screen of the measuring device 11, and performs the action a predetermined number of times. In the "initial state", the object to be displayed is randomly determined.

[0065] When it is recognized that the subject is standing in front of the camera of the measuring device 11, the analysis device 12 judges that the subject is "ready". After a specified time has passed, "measurement starts" and objects are randomly displayed on the screen ("object display"). A timer starts from the moment the object is displayed, and it detects whether the hand-raising action is in accordance with the predetermined hand-raising action for each object. First, it detects that one hand is raised ("one-hand-raised detection"), and within a specified time (e.g., 0.2 seconds), it "detects whether the other hand is also raised" and judges whether the hand is raised with only the right hand, only the left hand, or both hands ("judgment of the raised hand"). It "checks for correctness" to see if the action was correct (only the right hand, only the left hand, or both hands) corresponding to the displayed object, and if it is correct, it tallies and records the reaction speed (reaction time) until the action ends. It "checks for end" and, if the number of times is not reached, it returns to "start of Nth test" and the next test is carried out.

[0066] If no movement is detected after a certain period of time (timeout) has elapsed since "object display," or if the "correct answer check" detects an incorrect answer, it is counted as a failure and the program proceeds to "end check."

[0067] After the set number of repetitions is completed, the reaction rate is converted into an age value, and the physical age calculation unit of the analysis device 12 estimates the age value (reaction rate age) using the average reaction rate regression equation for each age shown in Figure 12.

[0068] In the second embodiment, similarly to the first embodiment, the muscle age, balance age, and reaction speed age calculated in s3, s4, and s'5 (physical ability calculation section) are used to calculate the overall physical age in s6 (the physical age calculation section of the present invention). The relational expressions between the overall physical age, the muscle age, balance age, and reaction speed age are shown below. Physical age = (b1 x muscle age + b2 x balance age + b3 x reaction speed age) / (b1 + b2 + b3) * b1, b2, and b3 are arbitrary constants

[0069] The analysis device 12 may also have a function of outputting a report of the measured physical age, etc. For example, the report shown in FIG. 13 can be presented to the subject. In the report shown in FIG. 13, b1, b2, and b3 are all set as the same constant, the physical age is calculated, and presented as the leg and back age. The physical age is compared with the actual age, and a rating of A, B, or C is displayed according to the age difference. The age values ​​of muscle strength, balance, and reaction speed can also be displayed, and advice for improving them can be extracted from templates previously stored in the analysis device 12 and presented.

[0070] In addition, in either the first or second embodiment of the motion analysis system, a test of cognitive function can be added using the measurement device 11 and the analysis device 12. As a test of cognitive function, a cognitive function measurement method including a memory test and a recognition test presented to the subject can be adopted. The memory test involves the reading out of a series of words presented to the subject, and encourages subsequent recollection, and the recognition test involves selecting words that were previously presented from among the words presented to the subject. Based on the answer results of the subject, the state of cognitive function can be estimated. Also, a so-called Mini-Cog test can be implemented in the analysis device 12, and in addition to the memory test in which words are memorized and answered, a clock drawing test can be introduced to test the state of the subject's cognitive function. The state of cognitive function can also be displayed by a report function.

[0071] Conventional athletic ability measurement systems are mainly focused on evaluating athletic ability alone and do not have sufficient functions for evaluating cognitive function. By evaluating cognitive function, it is also possible to properly evaluate the risk of occupational accidents due to lack of attention or judgment during work.

[0072] In addition, to prevent industrial accidents, a management system can be constructed that manages the measurement results of a motion analysis system for multiple employees, with company employees as subjects. User management can be performed for each employee, as past motion analysis system results are also managed on the server.

[0073] An employee, who is a user, can log in to the management system, take measurements using the motion analysis system, and save the results in the management system. The system has an authentication function as shown in Figure 14 so that the measurement data for each employee is correctly saved as a record of the same person.

[0074] First, the management system is provided with a recording means for recording the user's name in katakana and date of birth for each user as user information in the server in correspondence with the measurement result data. The management system first has the user input whether it is their first measurement or their second or subsequent measurement ("input past measurement experience"). Next, they input their name (in katakana) and date of birth. The system checks whether information related to that name and date of birth exists in the server. If the user has input that this is their second or subsequent measurement in their past measurement experience, and the check shows that information related to that name and date of birth exists in the server, then login is permitted, the motion analysis system is started, and measurement begins.

[0075] Also, if the user has entered that they have no past measurement experience, and the result of the comparison shows that the information on the name and date of birth does not exist on the server, they will be registered as a new user. After entering the required information other than the name and date of birth, such as gender and department, the motion analysis system is started and the measurement begins.

[0076] On the other hand, if there is an inconsistency, such as when you input that this is your second or subsequent measurement experience but the information about your name and date of birth does not exist on the server, or when you input that you have no previous measurement experience but the information about your name and date of birth exists on the server, the screen will return to the "Enter past measurement experience" screen.

[0077] By having such an authentication function, measurement data can be continuously and correctly stored as a record of the same person. [Explanation of symbols]

[0078] 11: measuring device, 12: analysis device, A: subject, 100: motion analysis system

Claims

1. A motion analysis system that analyzes a subject's motion and calculates the subject's overall physical age, A measuring device that measures the motion of a subject and an analyzing device that analyzes information obtained by the measuring device, the measurement device has a body information measurement unit that sequentially measures two-dimensional or three-dimensional coordinates of a plurality of predetermined body feature points of the subject, the analysis device includes a physical ability calculation unit that calculates a movement feature amount from the coordinates of the body feature points, and a physical fitness age calculation unit that calculates a comprehensive physical age from the movement feature amount calculated by the physical ability calculation unit, The motion analysis system is characterized in that the physical ability calculation unit calculates each of the motion characteristic quantities of the subject's muscle strength, balance ability, and walking ability.

2. The motion analysis system according to claim 1, characterized in that the physical age calculation unit calculates a muscle strength age, a balance strength age, and a walking strength age based on the movement characteristics of muscle strength, balance strength, and walking strength calculated by the physical ability calculation unit, and calculates an overall physical fitness age from the muscle strength age, balance strength age, and walking strength age.

3. 3. The motion analysis system according to claim 2, wherein the muscle strength of the subject is calculated as a movement characteristic amount based on the number of times the subject stands up from a sitting position within a certain period of time.

4. 3. The motion analysis system according to claim 2, wherein the balance ability of the subject is calculated by using a one-legged standing time as the motion feature amount.

5. 3. The motion analysis system according to claim 2, wherein the walking force of the subject is calculated based on a walking speed as the motion feature amount.

6. 3. The motion analysis system according to claim 2, further comprising a cognitive function measuring means.

7. A motion analysis system that analyzes a subject's motion and calculates the subject's overall physical age, A measuring device that measures the motion of a subject and an analyzing device that analyzes information obtained by the measuring device, the measurement device has a body information measurement unit that sequentially measures two-dimensional or three-dimensional coordinates of a plurality of predetermined body feature points of the subject, the analysis device includes a physical ability calculation unit that calculates a movement feature amount from the coordinates of the body feature points, and a physical fitness age calculation unit that calculates a comprehensive physical age from the movement feature amount calculated by the physical ability calculation unit, The motion analysis system is characterized in that the physical ability calculation unit calculates each of the motion characteristic quantities of the subject, namely, muscle strength, balance, and reaction speed.

8. The motion analysis system according to claim 7, characterized in that the physical age calculation unit calculates a muscle strength age, a balance age, and a reaction speed age based on the movement features of muscle strength, balance, and reaction speed calculated by the physical ability calculation unit, and calculates an overall physical strength age from the muscle strength age, balance age, and reaction speed age.

9. 9. The motion analysis system according to claim 8, wherein the muscle strength of the subject is calculated as the number of times the subject stands up from a sitting position within a certain period of time, as the motion feature amount.

10. 9. The motion analysis system according to claim 8, wherein the balance ability of the subject is calculated by using a one-leg standing time as the motion feature amount.

11. 9. The motion analysis system according to claim 8, wherein the reaction speed of the subject is calculated by having the subject perform a predetermined movement in accordance with contents displayed on a screen provided in the measuring device, and the reaction time from when the screen is displayed to when the movement is completed is calculated as the movement feature amount.

12. 9. The motion analysis system according to claim 8, further comprising a cognitive function measuring means.

13. A management system for managing measurement results of a plurality of subjects obtained by the motion analysis system according to any one of claims 1 to 12, The management system is provided with a recording means for recording, in a server, the user's name in katakana and date of birth as user information for each user who is a subject, in correspondence with the measurement result data; A verification means for acquiring the katakana spelling of the user's name and date of birth inputted at the time of login and verifying whether there is corresponding information in the recording means; A means for permitting login if the input name in katakana and the date of birth match the corresponding information in the database based on the comparison result; Based on the comparison results, if the entered name in katakana and the date of birth do not match the corresponding information in the database, a new registration will be prompted. A management system comprising:

Images